Mobile Device Autoconfiguration. Todays cellular networks are built to optimise spectrum efficiency by combining specific codecs and matching bearer services. With general purpose mobile terminals that can access different network types the applications will break this optimisation by using generic codecs. This project aims at solving this problem by letting the access networks configure the terminals with the natively supported codecs and bearer service definitions. The project will lead to con ....Mobile Device Autoconfiguration. Todays cellular networks are built to optimise spectrum efficiency by combining specific codecs and matching bearer services. With general purpose mobile terminals that can access different network types the applications will break this optimisation by using generic codecs. This project aims at solving this problem by letting the access networks configure the terminals with the natively supported codecs and bearer service definitions. The project will lead to considerably higher cost effectiveness in the emerging mobile Internet.Read moreRead less
Designing for visual and auditory attention in complex high-tempo worlds. This research addresses the national priority of developing frontier technologies through smart information use. Advanced display technologies are positioned for rapid uptake in many sectors of the economy but are not fully tested. Results of our research will generalise to manufacturing, defence, aviation, and medicine. Given the focus on anaesthesia in this proposal, our research may help to make anaesthesia safer for pa ....Designing for visual and auditory attention in complex high-tempo worlds. This research addresses the national priority of developing frontier technologies through smart information use. Advanced display technologies are positioned for rapid uptake in many sectors of the economy but are not fully tested. Results of our research will generalise to manufacturing, defence, aviation, and medicine. Given the focus on anaesthesia in this proposal, our research may help to make anaesthesia safer for patients and easier for anaesthetists to administer. With this research, an Australian group will enhance its international lead in the area of innovative interfaces for safety critical applications. The proposed research should lead to further inventions that have the potential to benefit Australian industry.Read moreRead less
Gaze Tracking Haptic User Interface for the Blind. It is estimated over 40 million people suffer from sever visual impairment in the modern world. Although blind people are able to use the computer with the aid of a screen reader and output devices like Braille displays, it remains difficult for the blind to use many applications with Graphical User Interfaces (GUIs) due to the need for hand-eye coordination when manipulating screen objects with the mouse. This project intends to overcome this d ....Gaze Tracking Haptic User Interface for the Blind. It is estimated over 40 million people suffer from sever visual impairment in the modern world. Although blind people are able to use the computer with the aid of a screen reader and output devices like Braille displays, it remains difficult for the blind to use many applications with Graphical User Interfaces (GUIs) due to the need for hand-eye coordination when manipulating screen objects with the mouse. This project intends to overcome this difficulty by providing a means for the blind to perceive and control the GUI of typical computer applications. This potentially could provide increased computer access, job opportunities and education for the blind.Read moreRead less
Stream Data Classification in the Age of 5G Networks. This project aims to develop a novel stream data classification model to handle the challenges in the era of 5G networks, such as the scope of the stream data, the complexity of their relationship, the diversity of contained information and the incorrect readings of numerous sensors. The project addresses a significant knowledge gap by exploring and modelling the stronger correlation between data instances in the streams. The outcome is a sys ....Stream Data Classification in the Age of 5G Networks. This project aims to develop a novel stream data classification model to handle the challenges in the era of 5G networks, such as the scope of the stream data, the complexity of their relationship, the diversity of contained information and the incorrect readings of numerous sensors. The project addresses a significant knowledge gap by exploring and modelling the stronger correlation between data instances in the streams. The outcome is a system that is highly efficient, accurate and corrupted-data-tolerant classification solutions for individual stream data as well as multiple stream data. The expected benefits will be far-ranging and adaptable to many domains, such as smart home, medical and healthcare, transportation and manufacturing. Read moreRead less
Fundamentals of active sensor network for damage identification in engineering structures. The development of active sensor network techniques for Australia's vast civil and defence infrastructure will improve operational safety, reduce maintenance costs and extend the residual life of many of our engineered assets. The resulting cost-efficiencies will advantage Australian producers in competitive global markets; our companies will be well placed to produce and install active sensor network tech ....Fundamentals of active sensor network for damage identification in engineering structures. The development of active sensor network techniques for Australia's vast civil and defence infrastructure will improve operational safety, reduce maintenance costs and extend the residual life of many of our engineered assets. The resulting cost-efficiencies will advantage Australian producers in competitive global markets; our companies will be well placed to produce and install active sensor network techniques and to provide training in the associated asset management systems. Australian industry will have a unique opportunity to collaborate with the world-class research networks on emerging areas such as damage diagnosis, prognosis and control, and structural repair.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100679
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
Real-time query processing over multi-dimensional uncertain data streams. Real-time query processing of multi-dimensional uncertain data streams is fundamental in many applications such as environmental monitoring and location based services. This project aims to develop effective techniques to explore the massive multi-dimensional uncertain data streams in real time. The project will develop, analyse, implement and evaluate novel indexing and query processing techniques to effectively and effic ....Real-time query processing over multi-dimensional uncertain data streams. Real-time query processing of multi-dimensional uncertain data streams is fundamental in many applications such as environmental monitoring and location based services. This project aims to develop effective techniques to explore the massive multi-dimensional uncertain data streams in real time. The project will develop, analyse, implement and evaluate novel indexing and query processing techniques to effectively and efficiently support a set of primitive queries including rank-based queries, dominance-based queries and proximity-based queries. The results of this project will be an important complement to the development of data stream systems and will bring considerable social, economic and technological benefits to Australia.Read moreRead less
Monitoring social events for user online behaviour analytics. This project aims to investigate the influence of public attention on steering user online behaviour. The exponential growth of online behaviour data makes online behaviour analytics increasingly important in social, commercial and political environments, but existing methods rely on user profiles only. The project will unify external social events with user profiles for behaviour analytics, and develop approaches for event database i ....Monitoring social events for user online behaviour analytics. This project aims to investigate the influence of public attention on steering user online behaviour. The exponential growth of online behaviour data makes online behaviour analytics increasingly important in social, commercial and political environments, but existing methods rely on user profiles only. The project will unify external social events with user profiles for behaviour analytics, and develop approaches for event database indexing, event-influenced behaviour modelling and prediction. The success of this project is expected to enhance users’ online experience and improve e-commerce’s market value.Read moreRead less
Taming the uncertainty in trajectory data. This project aims to develop effective and efficient methods to manage large scale uncertain trajectory data. It provides individuals, business, government and social groups the ability to explore significant uncertain trajectories and their patterns, for important usages in location based services, logistic, transportation and tourism.
Deep attribute-aware hashing for cross retrieval. This project aims to enable individuals, industries and governments, to freely access vital and linked information carried in different media types from different sources by developing a deep attribute-aware framework that embeds heterogeneous features into a shared data space to achieve effective and efficient cross system information retrieval. With the proliferation of heterogeneous data sources, there is an urgent need to enable search and re ....Deep attribute-aware hashing for cross retrieval. This project aims to enable individuals, industries and governments, to freely access vital and linked information carried in different media types from different sources by developing a deep attribute-aware framework that embeds heterogeneous features into a shared data space to achieve effective and efficient cross system information retrieval. With the proliferation of heterogeneous data sources, there is an urgent need to enable search and retrieval across different media types and domains. The framework developed by the project uses deep learning methods to develop meaningful image attributes to positively bridge the modality gap and the domain gap when hash functions are affixed to data. This project will significantly advance the research of multimedia retrieval, and benefit a series of related research problems whenever heterogeneous multimedia data are involved in their applications.Read moreRead less
Synergising multimedia content understanding with social data analysis. This project aims to develop novel approaches to explore synergies within big social multimedia data from both social and multimedia perspective. It provides individuals, groups, and businesses the ability to tap into the wisdom of crowds to enlarge knowledge base, enhance user experience, understand the pulse of crowds and make informed decision.